ChinaHighCO: Daily Seamless 10 km Ground-Level CO Dataset for China (2013–2018)

ChinaHighCO is part of a series of long-term, seamless, high-resolution, and high-quality datasets of air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data sources (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence, taking into account the spatiotemporal heterogeneity of air pollution. Here is the big data-derived seamless (spatial coverage = 100%) daily, monthly, and yearly 10 km (i.e., D10K, M10K, and Y10K) ground-level CO dataset for China from 2013 to 2018. This dataset exhibits high quality, with a cross-validation coefficient of determination (CV-R2) of 0.80, a root-mean-square error (RMSE) of 0.29 mg m-3, and a mean absolute error (MAE) of 0.16 mg m-3 on a daily basis. If you use the ChinaHighCO dataset in your scientific research, please cite the following reference (Wei et al., ACP, 2023): Wei, J., Li, Z., Wang, J., Li, C., Gupta, P., and Cribb, M. Ground-level gaseous pollutants (NO2, SO2, and CO) in China: daily seamless mapping and spatiotemporal variations. Atmospheric Chemistry and Physics, 2023, 23, 1511–1532. https://doi.org/10.5194/acp-23-1511-2023 Note that the ChinaHighCO dataset was improved to a 1 km resolution after 2019: all (including daily) data for the years after 2019 are accessible at: https://doi.org/10.5281/zenodo.10477022 More CHAP datasets for different air pollutants are available at: https://weijing-rs.github.io/product.htmlChinaHighCO数据集隶属于面向中国区域的长期、无缝隙、高分辨率高质量大气污染物数据集系列（ChinaHighAirPollutants，简称CHAP）。该数据集依托地面实地观测、卫星遥感产品、大气再分析资料与模式模拟等多源大数据，结合大气污染的时空异质性特征，通过人工智能技术构建生成。 本数据集为2013至2018年中国区域10km分辨率的逐日、逐月、逐年无缝隙（空间覆盖率达100%）近地面一氧化碳（CO）数据集，涵盖D10K、M10K、Y10K三类数据产品。该数据集质量优异，日尺度下的交叉验证决定系数（cross-validation coefficient of determination，CV-R²）达0.80，均方根误差（root-mean-square error，RMSE）为0.29 mg·m⁻³，平均绝对误差（mean absolute error，MAE）为0.16 mg·m⁻³。 若您在科学研究中使用ChinaHighCO数据集，请引用以下文献（Wei等，ACP，2023）： Wei, J., Li, Z., Wang, J., Li, C., Gupta, P., and Cribb, M. 中国近地面气态污染物（NO₂、SO₂与CO）：逐日无缝制图与时空变化特征. Atmospheric Chemistry and Physics, 2023, 23, 1511–1532. https://doi.org/10.5194/acp-23-1511-2023 需注意，2019年后的ChinaHighCO数据集已升级至1km分辨率： 2019年及以后的全部数据（含逐日数据）可通过以下链接获取：https://doi.org/10.5281/zenodo.10477022 更多针对不同大气污染物的CHAP系列数据集可访问：https://weijing-rs.github.io/product.html